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To spherical factors off, the final component of this course is actually a closing venture to use all of your new abilities in the practical context.
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These designs are also now accelerated with TensorRT-LLM. TensorRT-LLM compiles the versions into TensorRT engines, from model layers into optimized CUDA kernels utilizing sample matching and fusion, To maximise inference functionality. These engines are then executed because of the TensorRT-LLM runtime, which incorporates several optimizations:
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one. Demo on Importing the modules and performing various functions on them working with arithmetic functions
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